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      KCI등재

      평면 다물체 동역학 해석에서 GPU 병렬 프로그래밍의 계산효과

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      https://www.riss.kr/link?id=A60261492

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      다국어 초록 (Multilingual Abstract)

      In this paper, the equations of motions for planar multibody dynamics are established for considering the parallel programming based on GPU. Cartesian coordinates are used to formulate the equations of motion and implicit integration method called HHT-alpha is employed. Open chain multibody system is considered for computer simulation. CUDA toolkit is employed for establishing the GPU parallel programming. The exactness of the analysis is verified from the comparison with ADAMS. The results from parallel computing based on GPU are compared with the results from the sequential programming based on CPU in terms of calculation time. The multiple pendulum with bodies and joints is employed for the computer simulation. In the pendulum system that has 290 bodies, the parallel program indicates an improved efficiency of about 25.5 second(15.5% improvement).
      It is noted that the larger the size of system is, the time efficiency is better.
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      In this paper, the equations of motions for planar multibody dynamics are established for considering the parallel programming based on GPU. Cartesian coordinates are used to formulate the equations of motion and implicit integration method called HHT...

      In this paper, the equations of motions for planar multibody dynamics are established for considering the parallel programming based on GPU. Cartesian coordinates are used to formulate the equations of motion and implicit integration method called HHT-alpha is employed. Open chain multibody system is considered for computer simulation. CUDA toolkit is employed for establishing the GPU parallel programming. The exactness of the analysis is verified from the comparison with ADAMS. The results from parallel computing based on GPU are compared with the results from the sequential programming based on CPU in terms of calculation time. The multiple pendulum with bodies and joints is employed for the computer simulation. In the pendulum system that has 290 bodies, the parallel program indicates an improved efficiency of about 25.5 second(15.5% improvement).
      It is noted that the larger the size of system is, the time efficiency is better.

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      참고문헌 (Reference)

      1 "http://en.wikipedia.org/wiki/CUDA"

      2 Lee, Y. H, "Parallel collision detection and dynamics simulation study with CUDA programming" Ewha womans graduate school. 2009

      3 Jung, Y. H, "Parallel Programming with CUDA"

      4 D. Negrut, "On an implementation of the Hilber-Hughes-Taylor Method in the Context of Index 3 Differential- Algebraic Equations of Multibody Dyna- mics" 2 (2): 73-86, 2006

      5 Negrut, D, "High Performance computing for Engineering Applications"

      6 Tasora, A, "GPU-based Parallel Computing for theSimulation of Complex Multibody Systems withUnilateral and Bilateral Constraints" 23 : 283-307, 2011

      7 Parviz E.Nikravesh, "Computer-Aided Analysis of Mechanical Systems" Prentice- Hall International Inc 227-248, 1988

      8 NVIDIA, "CUDA Toolkit 4.0 CUBLAS Library"

      1 "http://en.wikipedia.org/wiki/CUDA"

      2 Lee, Y. H, "Parallel collision detection and dynamics simulation study with CUDA programming" Ewha womans graduate school. 2009

      3 Jung, Y. H, "Parallel Programming with CUDA"

      4 D. Negrut, "On an implementation of the Hilber-Hughes-Taylor Method in the Context of Index 3 Differential- Algebraic Equations of Multibody Dyna- mics" 2 (2): 73-86, 2006

      5 Negrut, D, "High Performance computing for Engineering Applications"

      6 Tasora, A, "GPU-based Parallel Computing for theSimulation of Complex Multibody Systems withUnilateral and Bilateral Constraints" 23 : 283-307, 2011

      7 Parviz E.Nikravesh, "Computer-Aided Analysis of Mechanical Systems" Prentice- Hall International Inc 227-248, 1988

      8 NVIDIA, "CUDA Toolkit 4.0 CUBLAS Library"

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      학술지 이력

      학술지 이력
      연월일 이력구분 이력상세 등재구분
      2022 평가예정 재인증평가 신청대상 (재인증)
      2020-01-01 학술지명변경 한글명 : 한국동력기계공학회지 -> 동력시스템공학회지
      외국어명 : Journal of the Korean Society for Power System Engineering -> Journal of Power System Engineering
      KCI등재
      2019-01-01 평가 등재학술지 유지 (계속평가) KCI등재
      2016-01-01 평가 등재학술지 유지 (계속평가) KCI등재
      2012-01-01 평가 등재학술지 유지 (등재유지) KCI등재
      2009-01-01 평가 등재학술지 선정 (등재후보2차) KCI등재
      2008-01-01 평가 등재후보 1차 PASS (등재후보1차) KCI등재후보
      2007-01-01 평가 등재후보학술지 유지 (등재후보1차) KCI등재후보
      2006-01-01 평가 등재후보학술지 유지 (등재후보1차) KCI등재후보
      2004-01-01 평가 등재후보학술지 선정 (신규평가) KCI등재후보
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      학술지 인용정보
      기준연도 WOS-KCI 통합IF(2년) KCIF(2년) KCIF(3년)
      2016 0.22 0.22 0.21
      KCIF(4년) KCIF(5년) 중심성지수(3년) 즉시성지수
      0.19 0.18 0.334 0.06
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